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Deep learning image segmentation reveals patterns of UV reflectance evolution in passerine birds

Author

Listed:
  • Yichen He

    (University of Sheffield)

  • Zoë K. Varley

    (University of Sheffield)

  • Lara O. Nouri

    (University of Sheffield)

  • Christopher J. A. Moody

    (University of Sheffield)

  • Michael D. Jardine

    (University of Sheffield)

  • Steve Maddock

    (University of Sheffield)

  • Gavin H. Thomas

    (University of Sheffield
    The Natural History Museum at Tring)

  • Christopher R. Cooney

    (University of Sheffield)

Abstract

Ultraviolet colouration is thought to be an important form of signalling in many bird species, yet broad insights regarding the prevalence of ultraviolet plumage colouration and the factors promoting its evolution are currently lacking. In this paper, we develop a image segmentation pipeline based on deep learning that considerably outperforms classical (i.e. non deep learning) segmentation methods, and use this to extract accurate information on whole-body plumage colouration from photographs of >24,000 museum specimens covering >4500 species of passerine birds. Our results demonstrate that ultraviolet reflectance, particularly as a component of other colours, is widespread across the passerine radiation but is strongly phylogenetically conserved. We also find clear evidence in support of the role of light environment in promoting the evolution of ultraviolet plumage colouration, and a weak trend towards higher ultraviolet plumage reflectance among bird species with ultraviolet rather than violet-sensitive visual systems. Overall, our study provides important broad-scale insight into an enigmatic component of avian colouration, as well as demonstrating that deep learning has considerable promise for allowing new data to be brought to bear on long-standing questions in ecology and evolution.

Suggested Citation

  • Yichen He & Zoë K. Varley & Lara O. Nouri & Christopher J. A. Moody & Michael D. Jardine & Steve Maddock & Gavin H. Thomas & Christopher R. Cooney, 2022. "Deep learning image segmentation reveals patterns of UV reflectance evolution in passerine birds," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-32586-5
    DOI: 10.1038/s41467-022-32586-5
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    References listed on IDEAS

    as
    1. Christopher R. Cooney & Zoë K. Varley & Lara O. Nouri & Christopher J. A. Moody & Michael D. Jardine & Gavin H. Thomas, 2019. "Sexual selection predicts the rate and direction of colour divergence in a large avian radiation," Nature Communications, Nature, vol. 10(1), pages 1-9, December.
    2. Eliot T. Miller & Gavin M. Leighton & Benjamin G. Freeman & Alexander C. Lees & Russell A. Ligon, 2019. "Ecological and geographical overlap drive plumage evolution and mimicry in woodpeckers," Nature Communications, Nature, vol. 10(1), pages 1-10, December.
    3. Christopher R. Cooney & Jen A. Bright & Elliot J. R. Capp & Angela M. Chira & Emma C. Hughes & Christopher J. A. Moody & Lara O. Nouri & Zoë K. Varley & Gavin H. Thomas, 2017. "Mega-evolutionary dynamics of the adaptive radiation of birds," Nature, Nature, vol. 542(7641), pages 344-347, February.
    4. Catherine Sheard & Montague H. C. Neate-Clegg & Nico Alioravainen & Samuel E. I. Jones & Claire Vincent & Hannah E. A. MacGregor & Tom P. Bregman & Santiago Claramunt & Joseph A. Tobias, 2020. "Ecological drivers of global gradients in avian dispersal inferred from wing morphology," Nature Communications, Nature, vol. 11(1), pages 1-9, December.
    5. James Dale & Cody J. Dey & Kaspar Delhey & Bart Kempenaers & Mihai Valcu, 2015. "The effects of life history and sexual selection on male and female plumage colouration," Nature, Nature, vol. 527(7578), pages 367-370, November.
    6. W. Jetz & G. H. Thomas & J. B. Joy & K. Hartmann & A. O. Mooers, 2012. "The global diversity of birds in space and time," Nature, Nature, vol. 491(7424), pages 444-448, November.
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